Detection of U.S. Traffic Signs

Abstract

This paper presents a comprehensive research study of the detection of U.S. traffic signs.

Until now, the research in Traffic Sign Recognition systems has been centered on European

traffic signs, but signs can look very different across different parts of the world, and a system

that works well in Europe may indeed not work in the U.S. We go over the recent advances in

traffic sign detection and discuss the differences in signs across the world. Then we present a

comprehensive extension to the publicly available LISA-TS traffic sign data set, almost doubling

its size, now with high-definition-quality footage. The extension is made with testing of tracking

sign detection systems in mind, providing videos of traffic sign passes. We apply the Integral

Channel Features and Aggregate Channel Features detection methods to U.S. traffic signs and

show performance numbers outperforming all previous research on U.S. signs (while also

performing similarly to the state of the art on European signs). Integral Channel Features have

previously been used successfully for European signs, whereas Aggregate Channel Features have

never been applied to the field of traffic signs. We take a look at the performance differences

between the two methods and analyze how they perform on very distinctive signs, as well as

white, rectangular signs, which tend to blend into their environment.

Existing system Proposed System

Now a day, most of thepeoples are

forgetting to properly watch the traffic

signs during in the travelling period.

It is necessity to watch the traffic sign

in hill station place to avoid accident.

Drawbacks

The drivers have to check the sign

always that represent in the road side.

There is no automatic system.

Some of the accidents are occur

because of driver careless.

Here we introduce a new technology in

detection of traffic signs.

Cameras are used to capture the traffic

sign.

APR are employed for voice output.

Advantages

No need to check road side indication

sign while in the driving.

The system avoids the fine paying

occurring by driver’s careless work.

PICMicrocontroller

Power Supply

LCD

APR 9600 voice IC

Recognition

Authentication

Processing

MAX 232

Speaker

Motor driver

Working Principle:

In this project we are discussing aboutautomatic detection of U.S. traffic signs.

The watching of Traffic sign is necessity during in the driving. But they fail to

watch the sign this causes fine paying are occur to driver, it is avoid by

developing automatic detection system. The camera is used to capture the

image of traffic sign then it gives to image processing using mat lab

software. The processed images are controlled and intimate via APR voice

process then it produces the voice output.

Block Diagram:

Dc motor

Hardware tools

PIC Microcontroller with power supply LCD Camera APR 9600 voice IC. Max 232. Dc motor

Software Tools

MPLAB IDE MAT LAB Embedded c.